AI Legal Advisor (Mini Expert System)

 AI Legal Advisor (Mini Expert System) 

1. Introduction

The AI Legal Advisor project is a mini expert system designed to provide basic legal advice. It uses a rule-based approach to analyze user queries and offer guidance on simple legal matters. This system serves as a foundational step towards creating more sophisticated legal expert systems.

2. Prerequisites

• Python: Install Python 3.x from the official Python website.
• Required Libraries:
  - Flask (for deployment): Install using pip install flask
  - pyknow: Install using pip install pyknow (for rule-based logic).
• Basic Understanding of Legal Rules: Define rules for legal advice (e.g., contract laws, employment rights).

3. Project Setup

1. Create a Project Directory:

- Name your project folder, e.g., `AI_Legal_Advisor`.
- Inside this folder, create the main Python script (`legal_advisor.py`).

2. Install Required Libraries:

Ensure Flask and pyknow are installed using `pip`.

4. Writing the Code

Below is an example code snippet for the AI Legal Advisor:


from pyknow import *

class LegalExpertSystem(KnowledgeEngine):
   
    @Rule(Fact(question='employment termination'))
    def employment_rights(self):
        print("You are entitled to a notice period or compensation. Consult your contract for specifics.")
   
    @Rule(Fact(question='contract breach'))
    def contract_breach(self):
        print("Document all instances of breach and notify the other party. Legal action may be an option.")

    @Rule(Fact(question='tenant rights'))
    def tenant_rights(self):
        print("Ensure your landlord adheres to the rental agreement. You have rights regarding maintenance and notice for eviction.")

# Main interaction loop
engine = LegalExpertSystem()
engine.reset()

print("AI Legal Advisor: Welcome! What is your legal query?")
print("Options: employment termination, contract breach, tenant rights")
query = input("Enter your query: ").lower()

engine.declare(Fact(question=query))
engine.run()
   

5. Key Components

• Rule-Based Logic: Uses predefined rules to answer legal questions.
• Knowledge Base: Stores legal rules and conditions for providing advice.
• User Interaction: Provides a simple interface for users to ask questions.

6. Testing

1. Define a variety of legal queries and input them into the system.

2. Validate the responses based on the defined rules.

3. Test edge cases to ensure robustness.

7. Enhancements

• Expand Rule Base: Add more legal rules to handle diverse queries.
• NLP Integration: Use natural language processing to interpret user input.
• Deployment: Create a web or mobile interface using Flask for accessibility.

8. Troubleshooting

• Incorrect Advice: Verify the defined rules for accuracy.
• Limited Scope: Regularly update the knowledge base with more rules.
• User Input Errors: Implement input validation and suggest corrections.

9. Conclusion

The AI Legal Advisor demonstrates the potential of expert systems in providing basic legal guidance. With further enhancements, it can become a valuable tool for individuals seeking preliminary legal advice.